Tootfinder

Propaganda and Information Dissemination in the Russo-Ukrainian War: Natural Language Processing of Russian and Western Twitter Narratives
Zaur Gouliev
https://arxiv.org/abs/2506.01807

Propaganda and Information Dissemination in the Russo-Ukrainian War: Natural Language Processing of Russian and Western Twitter Narratives
The conflict in Ukraine has been not only characterised by military engagement but also by a significant information war, with social media platforms like X, formerly known as Twitter playing an important role in shaping public perception. This article provides an analysis of tweets from propaganda accounts and trusted accounts collected from the onset of the war, February 2022 until the middle of May 2022 with n=40,000 total tweets. We utilise natural language processing and machine learning a…

This https://arxiv.org/abs/2308.15556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Outgroup Animosity Has Risen for Politicians, Journalists, and a Sample of Partisan Users on Twitter and Reddit
Using language models, we analyze a sample of 67 million tweets and 30 million Reddit comments referencing a set of 215 political entities from 2010-2023 from partisan users, journalists, and politicians. Our analysis indicates outgroup animosity has increased consistently in our sample, with newer cohorts of users expressing higher levels of animosity than previous ones. Moreover, a small fraction of users are responsible for a disproportionate share of this negative content. We observe system…

Central Bank Communication with Public: Bank of England and Twitter (X)
Fatih Kansoy, Joel Mundy
https://arxiv.org/abs/2506.02559 https://

Central Bank Communication with Public: Bank of England and Twitter (X)
Central banks increasingly use social media to communicate beyond financial markets, yet evidence on public engagement effectiveness remains limited. Despite 113 central banks joining Twitter between 2008 and 2018, we lack understanding of what drives audience interaction with their content. To examine engagement determinants, we analyzed 3.13 million tweets mentioning the Bank of England from 2007 to 2022, including 9,810 official posts. We investigate posting patterns, measure engagement elas…

Rhetorical Analysis of an Open Letter
I want to talk first about the effects of genre on rhetorical analysis. Let’s start with two main categories. Primary sources: These are texts from a writer or an organization to a specific audience or audiences with a persuasive purpose. Such texts include op-eds, letters, press releases, blog posts, tweets, and emails. These texts provide an opportunity for a straightforward rhetorical analysis because the rhetorical situation is…

Retweets, Receipts, and Resistance: Discourse, Sentiment, and Credibility in Public Health Crisis Twitter
Tawfiq Ammari, Anna Gutowska, Jacob Ziff, Casey Randazzo, Harihan Subramonyam
https://arxiv.org/abs/2505.22032

Retweets, Receipts, and Resistance: Discourse, Sentiment, and Credibility in Public Health Crisis Twitter
As the COVID-19 pandemic evolved, the Centers for Disease Control and Prevention (CDC) used Twitter to disseminate safety guidance and updates, reaching millions of users. This study analyzes two years of tweets from, to, and about the CDC using a mixed methods approach to examine discourse characteristics, credibility, and user engagement. We found that the CDCs communication remained largely one directional and did not foster reciprocal interaction, while discussions around COVID19 were deepl…